Impact of nocturnal hypoglycemic events on diabetes management, sleep quality, and next-day function: results from a four-country survey

Symptom Burden Contributes to Sleep Problems Through Depressive Symptoms in Middle-Aged and Older Adults With Type 2 Diabetes: A Multigroup Analysis

PURPOSE

The purpose of this study was to examine the relationships between symptom burden and sleep problems and the role of depressive symptoms on these relationships in middle-aged and older adults with type 2 diabetes.

METHODS

The study employed a cross-sectional, correlational design with secondary analysis. De-identified data sets from three original studies were combined. A total of 189 men and women with type 2 diabetes were recruited using convenience sampling in midwestern United States. Symptom burden, sleep impairment and sleep disturbance, depressive symptoms, demographics, and diabetes-related variables were assessed. The participants were grouped into glucose-controlled and -uncontrolled groups to examine a multigroup effect. Multigroup path analyses were conducted.

RESULTS

The results indicated that symptom burden had direct and indirect effects through depressive symptoms on sleep disturbance in the controlled group, whereas only a direct effect was found in the uncontrolled group. For sleep-related impairment, significant direct and indirect effects of symptom burden were found via depressive symptoms in both groups, and the strength of the effects on each path differed between the groups.

CONCLUSIONS

Diabetes symptom burden was associated with sleep disturbance and sleep-related impairment in middle-aged and older adults with diabetes. A different approach should be considered for sleep management according to their A1C levels, and depressive symptoms can be a therapeutic target to treat sleep problems in the population.

Associations of clinical, psychological, and sociodemographic characteristics and ecological momentary assessment completion in the 10-week Hypo-METRICS study: Hypoglycaemia MEasurements ThResholds and ImpaCtS

INTRODUCTION

Reporting of hypoglycaemia and its impact in clinical studies is often retrospective and subject to recall bias. We developed the Hypo-METRICS app to measure the daily physical, psychological, and social impact of hypoglycaemia in adults with type 1 and insulin-treated type 2 diabetes in real-time using ecological momentary assessment (EMA). To help assess its utility, we aimed to determine Hypo-METRICS app completion rates and factors associated with completion.

METHODS

Adults with diabetes recruited into the Hypo-METRICS study were given validated patient-reported outcome measures (PROMs) at baseline. Over 10 weeks, they wore a blinded continuous glucose monitor (CGM), and were asked to complete three daily EMAs about hypoglycaemia and aspects of daily functioning, and two weekly sleep and productivity PROMs on the bespoke Hypo-METRICS app. We conducted linear regression to determine factors associated with app engagement, assessed by EMA and PROM completion rates and CGM metrics.

RESULTS

In 602 participants (55% men; 54% type 2 diabetes; median(IQR) age 56 (45-66) years; diabetes duration 19 (11-27) years; HbA1c 57 (51-65) mmol/mol), median(IQR) overall app completion rate was 91 (84-96)%, ranging from 90 (81-96)%, 89 (80-94)% and 94(87-97)% for morning, afternoon and evening check-ins, respectively. Older age, routine CGM use, greater time below 3.0 mmol/L, and active sensor time were positively associated with app completion.

DISCUSSION

High app completion across all app domains and participant characteristics indicates the Hypo-METRICS app is an acceptable research tool for collecting detailed data on hypoglycaemia frequency and impact in real-time.

Effect of fixed-ratio insulin combinations on adherence in type 2 diabetes: Systematic review

AIMS

To systematically review evidence on the effect of fixed-ratio combinations on adherence in people with type 2 diabetes.

METHODS

Systematic searches were conducted using MEDLINE and EMBASE in March 2023. Standardised screening, data extraction and risk of bias assessment were conducted. All review procedures were conducted independently by two reviewers. Eligible studies assessed the effect of fixed-ratio combinations on adherence in people with type 2 diabetes. Narrative synthesis was conducted to analyse findings.

RESULTS

A total of 488 records were identified, of which 37 proceeded to full-text screening and 7 - each representing a unique study - were included in the systematic review. Among the included studies, 3 were randomised controlled trials and 4 were cohort studies. Following narrative synthesis, it was shown that fixed-ratio combinations improved patient satisfaction and treatment adherence.

CONCLUSIONS

Available evidence supports a benefit for fixed-ratio combinations on patient satisfaction and treatment adherence in people with type 2 diabetes.

Relationship between CGM-derived nocturnal hypoglycemia and subjective sleep quality in people with type 1 diabetes

This pilot study explores the relationship between nocturnal hypoglycemia (NH) and subjective sleep quality in people with type 1 diabetes (T1D). Twenty-seven adults with T1D wore a Freestyle Libre Pro CGM and recorded subjective sleep quality daily, as assessed by a single Likert scale question. Frequency, duration, area under the curve (AUC) of NH (00:00-06:00) defined as sensor glucose below threshold (< 3.9 mmol/L; < 3 mmol/L) for ≥ 15 min, nocturnal mean glucose, Time in Range (3.9-10 mmol/L), and coefficient of variation were calculated. Twenty-seven adults, 18 (66.7%) women, with median (IQR) age of 27 (26, 32) years and HbA1c of 7.6 (7.1, 8.1) participated. Nights with NH < 3.9 mmol/L resulted in a lower (worse) sleep score than nights without NH [Mean (SD): 3.3 (1.2) vs 3.5 (1.0), p = 0.03). A higher frequency and longer duration but not AUC [adjusted OR (95% CI) 0.52 (0.38, 0.72), 0.961 (0.932, 0.991), 0.999 (0.998, 1.001) respectively)], of NH < 3.9 mmol/L, were associated with a lower sleep score. NH < 3.0 mmol/L metrics were not associated with sleep quality. Recurrent NH < 3.9 mmol/L, rather than prolonged NH < 3.0 mmol/L, seems associated with subjective sleep quality, implying that those with the highest burden of NH are likely unaware of it.

The impact of hypoglycaemia on quality of life among adults with type 1 diabetes: Results from "YourSAY: Hypoglycaemia"

AIMS

Research on hypoglycaemia and quality of life (QoL) has focused mostly on severe hypoglycaemia and psychological outcomes, with less known about other aspects of hypoglycaemia (e.g., self-treated episodes) and impacts on other QoL domains (e.g., relationships). Therefore, we examined the impact of all aspects of hypoglycaemia on QoL in adults with type 1 diabetes (T1DM).

METHODS

Participants completed an online survey, including assessment of hypoglycaemia-specific QoL (using the 12-item Hypoglycaemia Impact Profile). Mann-Whitney U tests examined differences in hypoglycaemia-specific QoL by hypoglycaemia frequency, severity, and awareness. Hierarchical linear regression examined associations with QoL.

RESULTS

Participants were 1028 adults with T1DM (M ± SD age: 47 ± 15 years; diabetes duration: 27 ± 16 years). Severe and self-treated hypoglycaemia and impaired awareness negatively impacted on overall QoL and several QoL domains, including leisure activities, physical health, ability to keep fit/be active, sleep, emotional well-being, spontaneity, independence, work/studies, and dietary freedom. Diabetes distress was most strongly associated with hypoglycaemia-specific QoL, followed by generic emotional well-being, fear of hypoglycaemia, and confidence in managing hypoglycaemia. Hypoglycaemia frequency and awareness were no longer significantly associated with QoL once psychological factors were considered.

CONCLUSIONS

Hypoglycaemia negatively impacts on several QoL domains. Psychological factors supersede the effect of hypoglycaemia frequency and awareness in accounting for this negative impact.

Beliefs about Healthy Sleep Habits in Adults with Diabetes Compared to Adults without Diabetes: A Reasoned Action Approach Elicitation Study

Objective  Sleep is part of a healthy lifestyle and in adults with diabetes, inadequate sleep is associated with risks of developing complications. The objective was to compare beliefs about healthy sleep habits (HSHs) in adults with versus without diabetes based on the Reasoned Action Approach. Methods  A total of 56 adults with and 98 without diabetes answered open-ended questions regarding their beliefs about: avoiding screen use in bed; having a regular sleep schedule; or avoiding caffeine, alcohol, and cigarettes before bedtime. A qualitative content analysis was used to identify the most important beliefs, similarities, and differences between both groups. Results  Both groups reported that adopting HSHs could improve sleep. Having a regular sleep schedule was perceived to facilitate diabetes management in adults with diabetes. Negative consequences specific to adopting each HSH were identified in both groups. Adopting HSHs was associated with mainly negative emotions (e.g., stress, anxiety, fear) in both groups. Avoiding screen use in bed was associated with anxiety of not knowing blood glucose levels at night in adults with diabetes. Partners, parents, and friends were considered the most important individuals who would approve of adopting HSHs, but they were often perceived as unlikely to adopt HSHs themselves in both groups. Adults with diabetes perceived more barriers to adopting HSHs. Facilitating factors for both groups included removing triggers of unhealthy sleep habits, behavior substitution, using reminders, time management, and social support. Discussion  These beliefs can guide the development of behavioral sleep interventions, including interventions specifically for adults with diabetes.

Psychometric properties of an innovative smartphone application to investigate the daily impact of hypoglycemia in people with type 1 or type 2 diabetes: The Hypo-METRICS app

INTRODUCTION

The aim of this study was to determine the acceptability and psychometric properties of the Hypo-METRICS (Hypoglycemia MEasurement, ThResholds and ImpaCtS) application (app): a novel tool designed to assess the direct impact of symptomatic and asymptomatic hypoglycemia on daily functioning in people with insulin-treated diabetes.

MATERIALS AND METHODS

100 adults with type 1 diabetes mellitus (T1DM, n = 64) or insulin-treated type 2 diabetes mellitus (T2DM, n = 36) completed three daily 'check-ins' (morning, afternoon and evening) via the Hypo-METRICs app across 10 weeks, to respond to 29 unique questions about their subjective daily functioning. Questions addressed sleep quality, energy level, mood, affect, cognitive functioning, fear of hypoglycemia and hyperglycemia, social functioning, and work/productivity. Completion rates, structural validity, internal consistency, and test-retest reliability were explored. App responses were correlated with validated person-reported outcome measures to investigate convergent (rs>±0.3) and divergent (rs<±0.3) validity.

RESULTS

Participants' mean±SD age was 54±16 years, diabetes duration was 23±13 years, and most recent HbA1c was 56.6±9.8 mmol/mol. Participants submitted mean±SD 191±16 out of 210 possible 'check-ins' (91%). Structural validity was confirmed with multi-level confirmatory factor analysis showing good model fit on the adjusted model (Comparative Fit Index >0.95, Root-Mean-Square Error of Approximation <0.06, Standardized Root-Mean-square Residual<0.08). Scales had satisfactory internal consistency (all ω≥0.5), and high test-retest reliability (rs≥0.7). Convergent and divergent validity were demonstrated for most scales.

CONCLUSION

High completion rates and satisfactory psychometric properties demonstrated that the Hypo-METRICS app is acceptable to adults with T1DM and T2DM, and a reliable and valid tool to explore the daily impact of hypoglycemia.

Insomnia Complaints and Perceived Immune Fitness in Young Adults with and without Self-Reported Impaired Wound Healing

Background and Objectives: Adequate sleep and an effective immune system are both essential to maintain a good health status. The current study aimed to determine the nature of insomnia complaints and perceived immune fitness among Dutch young adults with and without self-reported impaired wound healing. Materials and Methods: A total of (n = 2033) Dutch students (83.8% women) completed an online survey. Perceived immune fitness was assessed with a single-item scale and insomnia complaints with the SLEEP-50 insomnia subscale. The sample comprised a control group without self-reported impaired wound healing (n = 1622), a wound infection (WI) group (n = 69), a slow healing wounds (SHW) group (n = 250), and a COMBI group that experienced both WI and SHW (n = 92). Results: Comparisons with the control group revealed that individuals of the SHW and COMBI groups reported significantly poorer perceived immune functioning, increased insomnia complaints and daytime fatigue, and poorer sleep quality. Conclusions: Individuals with self-reported impaired wound healing have a poorer perceived immune functioning, increased insomnia complaints, daytime fatigue, and poorer sleep quality.

The Impact of a Recently Approved Automated Insulin Delivery System on Glycemic, Sleep, and Psychosocial Outcomes in Older Adults With Type 1 Diabetes: A Pilot Study

BACKGROUND

Older adults with type 1 diabetes (≥65 years) are often under-represented in clinical trials of automated insulin delivery (AID) systems. We sought to test the efficacy of a recently FDA-approved AID system in this population.

METHODS

Participants with type 1 diabetes used sensor-augmented pump (SAP) therapy for four weeks and then used an AID system (Control-IQ) for four weeks. In addition to glucose control variables, patient-reported outcomes (PRO) were assessed with questionnaires and sleep parameters were assessed by actigraphy.

RESULTS

Fifteen older adults (mean age 68.7 ± 3.3, HbA1c of 7.0 ± 0.8) completed the pilot trial. Glycemic outcomes improved during AID compared to SAP. During AID use, mean glucose was 146.0 mg/dL; mean percent time in range (TIR, 70-180 mg/dL) was 79.6%; median time below 70 mg/dL was 1.1%. The AID system was in use 92.6% ± 7.0% of the time. Compared to SAP, while participants were on AID the TIR increased significantly (+10%, P = .002) accompanied by a reduction in both time above 180 mg/dL (-6.9%, P = .005) and below 70 mg/dl (-0.4%, P = .053). Diabetes-related distress decreased significantly while using AID (P = .028), but sleep parameters remained unchanged.

CONCLUSIONS

Use of this AID system in older adults improved glycemic control with high scores in ease of use, trust, and usability. Participants reported an improvement in diabetes distress with AID use. There were no significant changes in sleep.

Investigating the day-to-day impact of hypoglycaemia in adults with type 1 or type 2 diabetes: design and validation protocol of the Hypo-METRICS application

INTRODUCTION

Hypoglycaemia is a frequent adverse event and major barrier for achieving optimal blood glucose levels in people with type 1 or type 2 diabetes using insulin. The Hypo-RESOLVE (Hypoglycaemia-Redefining SOLutions for better liVEs) consortium aims to further our understanding of the day-to-day impact of hypoglycaemia. The Hypo-METRICS (Hypoglycaemia-MEasurement, ThResholds and ImpaCtS) application (app) is a novel app for smartphones. This app is developed as part of the Hypo-RESOLVE project, using ecological momentary assessment methods that will minimise recall bias and allow for robust investigation of the day-to-day impact of hypoglycaemia. In this paper, the development and planned psychometric analyses of the app are described.

METHODS AND ANALYSIS

The three phases of development of the Hypo-METRICS app are: (1) establish a working group-comprising diabetologists, psychologists and people with diabetes-to define the problem and identify relevant areas of daily functioning; (2) develop app items, with user-testing, and implement into the app platform; and (3) plan a large-scale, multicountry study including interviews with users and psychometric validation. The app includes 7 modules (29 unique items) assessing: self-report of hypoglycaemic episodes (during the day and night, respectively), sleep quality, well-being/cognitive function, social interactions, fear of hypoglycaemia/hyperglycaemia and work/productivity. The app is designed for use within three fixed time intervals per day (morning, afternoon and evening). The first version was released mid-2020 for use (in conjunction with continuous glucose monitoring and activity tracking) in the Hypo-METRICS study; an international observational longitudinal study. As part of this study, semistructured user-experience interviews and psychometric analyses will be conducted.

ETHICS AND DISSEMINATION

Use of the novel Hypo-METRICS app in a multicountry clinical study has received ethical approval in each of the five countries involved (Oxford B Research Ethics Committee, CMO Region Arnhem-Nijmegen, Ethikkommission der Medizinischen Universität Graz, Videnskabsetisk Komite for Region Hovedstaden and the Comite Die Protection Des Personnes SUD Mediterranne IV). The results from the study will be published in peer review journals and presented at national and international conferences.

TRIAL REGISTRATION NUMBER

NCT04304963.

Type 1 Diabetes, Sleep, and Hypoglycemia

PURPOSE OF REVIEW

To review the relationship between sleep and hypoglycemia, sleep characteristics, and their associations with glycemic control in persons with type 1 diabetes (T1D). The effects of sleep interventions and diabetes technology on sleep are summarized.

RECENT FINDINGS

Nocturnal hypoglycemia affects objective and subjective sleep quality and is related to behavioral, psychological, and physiological factors. Sleep disturbances are common, including inadequate sleep, impaired sleep efficiency, poor subjective satisfaction, irregular timing, increased daytime sleepiness, and sleep apnea. Some have a bidirectional relationship with glycemic control. Preliminary evidence supports sleep interventions (e.g., sleep extension and sleep coach) in improving sleep and glycemic control, while diabetes technology use could potentially improve sleep. Hypoglycemia and sleep disturbances are common among persons with T1D. There is a need to develop sleep promotion programs and test their effects on sleep, glucose, and related outcomes (e.g., self-care, psychological health).

'Never again will I be carefree': a qualitative study of the impact of hypoglycemia on quality of life among adults with type 1 diabetes

INTRODUCTION

Achieving glycemic targets and optimizing quality of life (QoL) are important goals of type 1 diabetes care. Hypoglycemia is a common barrier to achieving targets and can be associated with significant distress. However, the impact of hypoglycemia on QoL is not fully understood. The aim of this study was to explore how adults with type 1 diabetes are impacted by hypoglycemia in areas of life that are important to their overall QoL.

RESEARCH DESIGN AND METHODS

Participants responded to a web-based qualitative survey involving a novel 'Wheel of Life' activity. Responses were analyzed using reflexive thematic analysis.

RESULTS

The final sample included 219 adults with type 1 diabetes from Denmark, Germany, the Netherlands, and the UK. They had a mean±SD age of 39±13 years and diabetes duration of 20±14 years. Participants identified eight areas of life important to their overall QoL, including relationships and social life, work and studies, leisure and physical activity, everyday life, sleep, sex life, physical health, and mental health. Participants reported emotional, behavioral, cognitive, and social impacts of hypoglycemia within domains. Across domains, participants described interruptions, limited participation in activities, exhaustion, fear of hypoglycemia, compensatory strategies to prevent hypoglycemia, and reduced spontaneity.

CONCLUSIONS

The findings emphasize the profound impact of hypoglycemia on QoL and diabetes self-care behaviors. Diabetes services should be aware of and address the burden of hypoglycemia to provide person-centered care. Clinicians could ask individuals how hypoglycemia affects important areas of their lives to better understand the personal impact and develop tailored management plans.

Impaired Function and Altered Morphology in the Skeletal Muscles of Adult Men and Women With Type 1 Diabetes

CONTEXT

Previous investigations on skeletal muscle health in type 1 diabetes (T1D) have generally focused on later stages of disease progression where comorbidities are present and are posited as a primary mechanism of muscle dysfunction.

OBJECTIVE

To investigate skeletal muscle function and morphology across the adult lifespan in those with and without T1D.

DESIGN

Participants underwent maximal contraction (MVC) testing, resting muscle biopsy, and venous blood sampling.

SETTING

Procedures in this study were undertaken at the McMaster University Medical Centre.

PARTICIPANTS

Sixty-five healthy adult (18-78 years old) men/males and women/females (T1D = 34; control = 31) matched for age/biological sex/body mass index; self-reported physical activity levels were included.

MAIN OUTCOME MEASURES

Our primary measure in this study was MVC, with supporting histological/immunofluorescent measures.

RESULTS

After 35 years of age ("older adults"), MVC declined quicker in T1D subjects compared to controls. Loss of strength in T1D was accompanied by morphological changes associated with accelerated aging. Type 1 myofiber grouping was higher in T1D, and the groups were larger and more numerous than in controls. Older T1D females exhibited more myofibers expressing multiple myosin heavy chain isoforms (hybrid fibers) than controls, another feature of accelerated aging. Conversely, T1D males exhibited a shift toward type 2 fibers, with less evidence of myofiber grouping or hybrid fibers.

CONCLUSIONS

These data suggest impairments to skeletal muscle function and morphology exist in T1D. The decline in strength with T1D is accelerated after 35 years of age and may be responsible for the earlier onset of frailty, which characterizes those with diabetes.

Sleep and diabetes-specific psycho-behavioral outcomes of a new automated insulin delivery system in young children with type 1 diabetes and their parents

BACKGROUND

Data on the use of Control-IQ, the latest FDA-approved automated insulin delivery (AID) system for people with T1D 6 years of age or older is still scarce, particularly regarding nonglycemic outcomes. Children with T1D and their parents are at higher risk for sleep disturbances. This study assesses sleep, psycho-behavioral and glycemic outcomes of AID compared to sensor-augmented pump therapy (SAP) therapy in young children with T1D and their parents.

METHODS

Thirteen parents and their young children (ages 7-10) on insulin pump therapy were enrolled. Children completed an initial 4-week study with SAP using their own pump and a study CGM followed by a 4-week phase of AID. Sleep outcomes for parents and children were evaluated through actigraphy watches. Several questionnaires were administered at baseline and at the end of each study phase. CGM data were used to assess glycemic outcomes.

RESULTS

Actigraphy data did not show any significant change from SAP to AID, except a reduction of number of parental awakenings during the night (p = 0.036). Parents reported statistically significant improvements in Pittsburgh Sleep Quality Index total score (p = 0.009), Hypoglycemia Fear Survey total score (p = 0.011), diabetes-related distress (p = 0.032), and depression (p = 0.023). While on AID, time in range (70-180 mg/dL) significantly increased compared to SAP (p < 0.001), accompanied by a reduction in hyperglycemia (p = 0.001).

CONCLUSIONS

These results suggest that use of AID has a positive impact on glycemic outcomes in young children as well as sleep and diabetes-specific quality of life outcomes in their parents.

The impact of hypoglycaemia on quality of life outcomes among adults with type 1 diabetes: A systematic review

Hypoglycaemia is a common barrier to optimal glycaemic management and often feared among adults with type 1 diabetes. The aim of this systematic review was to summarize current evidence regarding the impact of hypoglycaemia on quality of life (QoL) and related outcomes. Electronic searches of MEDLINE, PsycINFO, CINAHL, Cochrane Database of Systematic Reviews, and Cochrane Central Register of Controlled Trials were conducted. Peer-reviewed empirical studies investigating the relationship between hypoglycaemia and QoL were eligible for inclusion. Thirty studies met the inclusion criteria. Extracted data was summarized in a narrative synthesis according to Synthesis Without Meta-Analysis guidelines. None of the studies examined the impact of hypoglycaemia on general QoL. There was no association between hypoglycaemia and diabetes-specific QoL in four of the 30 studies. Severe hypoglycaemia was associated with greater fear of hypoglycaemia and diabetes distress, and lower general emotional well-being, but not with depression, anxiety, or health status. Self-treated hypoglycaemia was associated with greater fear of hypoglycaemia. With the exception of fear of hypoglycaemia, this review shows mixed associations between hypoglycaemia and psychological outcomes. Further research is needed to investigate the impact of hypoglycaemia on other domains of QoL.

The Phenotype of Elderly Patients with Type 2 Diabetes Mellitus and Poor Sleep Quality

BACKGROUND

Sleep disturbances are a common problem among patients with Type 2 diabetes mellitus (T2DM). The aim of the study was to identify the phenotype of T2DM patients with poor sleep quality.

METHODS

An observational, cross-sectional study was conducted between May 2013 and August 2015. One hundred and sixty consecutive patients with T2DM: 74 women and 86 men, with a median age of 69.50 years (59.00; 79.50 years) were enrolled in the study. Sleep quality was evaluated using the Pittsburgh Sleep Quality Index (PSQI) questionnaire.

RESULTS

Poor sleep quality was noted in 85 (53%) patients. Sleep disorders were associated with older age, as well as female gender, longer duration of diabetes, lower level of fasting plasma glucose, glycated hemoglobin A1c, estimated glomerular filtration rate, triglycerides, waist-to-hip ratio, and the presence of nephropathy. A multivariate logistic regression revealed that sleep disorders were associated with older age (Odd Ratio (OR) = 1.11, 95% Confidence Interval (CI) 1.07-1.15). Fifty-one patients (31.87%) were treated with sleeping pills. We found that older age, female gender, longer duration of diabetes, lower level of fasting plasma glucose, glycated hemoglobin A1c, estimated glomerular filtration rate, triglycerides, and the presence of nephropathy were linked with more frequent usage of hypnotics. A multivariate logistic regression demonstrated that older age (OR = 1.09, 95% CI 1.05-1.14) and nephropathy (OR = 2.79, 95% CI 1.24-6.28) were associated with a more frequent receiving the hypnotics, whereas male gender (OR = 0.30, 95% CI 0.13-0.71) has less frequent hypnotics usage.

CONCLUSION

Although, we assessed a wide range of patients' characteristics, age had the most negative impact on the quality of sleep in patients with T2DM. We detected more frequent use of hypnotics in older females, with coexisting nephropathy.

How has psycho-behavioural research advanced our understanding of hypoglycaemia in type 1 diabetes?

Almost 100 years since the discovery of insulin, hypoglycaemia remains a barrier for people with type 1 diabetes to achieve and maintain blood glucose at levels which prevent long-term diabetes-related complications. Although hypoglycaemia is primarily attributable to the limitations of current treatment and defective hormonal counter-regulation in type 1 diabetes, the central role of psycho-behavioural factors in preventing, recognizing and treating hypoglycaemia has been acknowledged since the early 1980s. Over the past 25 years, as documented in the present review, there has been a substantial increase in psycho-behavioural research focused on understanding the experience and impact of hypoglycaemia. The significant contributions have been in understanding the impact of hypoglycaemia on a person's emotional well-being and aspects of life (e.g. sleep, driving, work/social life), identifying modifiable psychological and behavioural risk factors, as well as in developing psycho-behavioural interventions to prevent and better manage (severe) hypoglycaemia. The impact of hypoglycaemia on family members has also been confirmed. Structured diabetes education programmes and psycho-behavioural interventions with a focus on hypoglycaemia have both been shown to be effective in addressing problematic hypoglycaemia. However, the findings have also revealed the complexity of the problem and the need for a personalized approach, taking into account the individual's knowledge of, and emotional/behavioural reactions to hypoglycaemia. Evidence is emerging that people with persistent and recurrent severe hypoglycaemia, characterized by deeply entrenched cognitions and lack of concern around hypoglycaemia, can benefit from tailored cognitive behavioural therapy.

Assessing Prevalence of Hypoglycemia in a Medical Transcription Database

PURPOSE

The prevalence of hypoglycemia in patients with diabetes mellitus is likely underreported, particularly with regard to non-severe episodes, and representative estimates require more detailed data than claims or typical electronic health record (EHR) databases provide. This study examines the prevalence of hypoglycemia as identified in a medical transcription database.

PATIENTS AND METHODS

The Amplity Insights database contains medical content dictated by providers detailing patient encounters with health care professionals (HCPs) from across the United States. Natural language processing (NLP) was used to identify episodes of hypoglycemia using both symptom-based and non-symptom-based definitions of hypoglycemic events. This study examined records of 41,688 patients with type 1 diabetes mellitus and 317,399 patients with type 2 diabetes mellitus between January 1, 2016, and April 30, 2018.

RESULTS

Using a non-symptom-based definition, the prevalence of hypoglycemia was 18% among patients with T1DM and 8% among patients with T2DM. These estimates show the prevalence of hypoglycemia to be 2- to 9-fold higher than the 1% to 4% prevalence estimates suggested by claims database analyses.

CONCLUSION

In this exploration of a medical transcription database, the prevalence of hypoglycemia was considerably higher than what has been reported via retrospective analyses from claims and EHR databases. This analysis suggests that data sources other than claims and EHR may provide a more in-depth look into discrepancies between the mention of hypoglycemia events during a health care visit and documentation of hypoglycemia in patient records.

Sex differences in factors associated with poor subjective sleep quality in athletes

BACKGROUND

Sleep is an important recovery period for athletes. In general, women are not satisfied with their sleep quality, which is also true for female soccer players, although the reasons remain to be elucidated. This study aimed to confirm sex difference in sleep quality among athletes from various fields of sport, and to investigate factors related to poor subjective sleep quality in male and female athletes.

METHODS

We collected data concerning subjective sleep quality, measured by Pittsburgh Sleep Quality Index (PSQI), from athletes who were 16 to 40 years of age and played various types of sports. Data concerning their sports, lifestyle, and sleep issues and sleep environments, and also menstrual issues for females, were collected.

RESULTS

Data from 207 male athletes and 215 female athletes were assessed. Among them, 31.4% of men and 48.8% of women had poor subjective sleep quality (i.e., PSQI≥6). In male athletes, witnessed apnea, episodes of disorientation or confusion during the time of sleep, long time gap between dinner and bedtime, and turning on the heating in the winter, were identified as factors associated with poor sleep quality by multivariate analysis, whereas in female athletes, bathing close to bedtime, habitual drinking, and being annoyed by noises at bedtime were identified.

CONCLUSIONS

In both populations, females had poorer subjective sleep quality than males. Sex differences exist in factors associated with poor subjective sleep quality. Thus, different approaches should be considered to improve their sleep quality.

Factors of occurrence and improvement methods of presenteeism attributed to diabetes: A systematic review

Objective

A systematic review was performed to study factors of occurrence and improvement methods of presenteeism attributed to diabetes.

Methods

We set 2 clinical questions; (a) how comorbidities and complications of diabetes induce presenteeism and (b) what interventions or conditions effectively improve presenteeism. Then, we conducted a comprehensive search with MEDLINE/PubMed and Scopus databases and extracted those that met the clinical questions.

Results

Eighteen papers studied occurrence of presenteeism by comorbidities and complications of diabetes. Most studies were cross‐sectional and had a low quality of evidence. However, the associations of hypoglycemia, diabetic neuropathy, and mood disorders with presenteeism were relatively well studied. The papers that discussed effective interventions or conditions for improving presenteeism were very limited.

Conclusions

Our review suggests that presenteeism attributed to diabetes is mainly caused by hypoglycemia, diabetic neuropathy, and mood disorders. There are very limited evidences, but available information suggests that improving glycemic control, adjusting treatment regimen by evaluating the impact on work, providing psychological support, and developing suitable work accommodations may effectively reduce presenteeism.

Similar glycaemic control with less nocturnal hypoglycaemia in a 38-week trial comparing the IDegAsp co-formulation with insulin glargine U100 and insulin aspart in basal insulin-treated subjects with type 2 diabetes mellitus

AIMS

To confirm non-inferiority of insulin degludec/insulin aspart (IDegAsp) once-daily (OD) versus insulin glargine (IGlar) U100 OD + insulin aspart (IAsp) OD for HbA_1c after 26 weeks, and compare efficacy and safety between groups at W26 + W38.

METHODS

A 38-week, randomised, open-label, treat-to-target (HbA_1c < 7.0%) trial in adults with type 2 diabetes mellitus (on basal insulin ± oral antidiabetic drugs; HbA_1c 7.0-10.0%). Randomisation (1:1): IDegAsp or IGlar U100 + IAsp. Intensification to IDegAsp twice daily (BID) was permitted at W26 + W32, or with additional IAsp injections at W26 (maximum IAsp BID) or W32 (maximum IAsp three-times daily).

RESULTS

For W0-W26, mean percentage-change (standard deviation) HbA_1c was: IDegAsp, -1.1 (0.9); IGlar U100 + IAsp, -1.1 (0.8); estimated treatment difference: 0.07% (95% confidence interval [CI]: -0.06; 0.21) confirmed non-inferiority. At W26 and W38, target HbA_1c achievement, and mean fasting and postprandial glucose were similar across groups. At W38, more subjects achieved target HbA_1c without hypoglycaemia with IDegAsp (22.5%) than with IGlar U100 + IAsp (21.1%), with significantly fewer nocturnal episodes (W0-W38, estimated rate ratio: 0.61 [95% CI: 0.40; 0.93]). Safety profiles were similar across treatment groups throughout.

CONCLUSIONS

IDegAsp OD/BID are effective treatment intensification options versus multiple injection basal-bolus therapies, achieving similar glycaemic control, with significantly less nocturnal hypoglycaemia.

Poor sleep quality is associated with nocturnal glycaemic variability and fear of hypoglycaemia in adults with type 1 diabetes

AIMS

To examine sleep quality and its associations with glycaemic control, glycaemic variability (GV), and fear of hypoglycaemia (FOH) in adults with type 1 diabetes.

BACKGROUND

Poor sleep quality has negative health consequences and is a frequent complaint among adults with type 1 diabetes. Sleep quality in adults with type 1 diabetes is likely affected by glucose levels as well as stressors associated with managing a chronic condition.

DESIGN

A retrospective secondary analysis of pooled data from two previous cross-sectional studies was conducted.

METHODS

We examined subjective sleep quality, FOH; objective measures of glycaemic control (HbA1c); and GV (3-day continuous glucose monitoring) in 48 men and women aged 18-45 years with type 1 diabetes. The data were collected over 3 years in 2013-2016.

RESULTS/FINDINGS

Poor sleep quality was reported by 46% of patients. Those with poor sleep quality had significantly greater nocturnal GV and FOH. Nocturnal GV and FOH were significantly associated with poor sleep quality. The interaction effect of GV and FOH was significant.

CONCLUSION

These findings suggest that glycaemic control and FOH are targets for intervention to improve sleep quality in those with type 1 diabetes.

Perceptions of insulin use in type 2 diabetes in primary care: a thematic synthesis

Background

Increasing numbers of patients with type 2 diabetes mellitus are progressing to insulin therapy, and despite its potency many such individuals still have suboptimal glycaemic control. Insulin initiation and intensification is now often conducted by Practice Nurses and General Practitioners in many parts of the UK. Therefore, gaining insight into perspectives of patients and primary care clinicians is important in determining self-management and engagement with insulin. A thematic synthesis of studies was conducted exploring the views and experiences of people with type 2 diabetes and of healthcare professionals on insulin use and management in the context of primary care.

Methods

Protocol based systematic searches of electronic databases (CINAHL, Cochrane Library, EMBASE, MEDLINE, PsycINFO, and Web of Science) were performed on 1 October 2014 and updated on 31 March 2015, to identify studies that identified the views and experiences of adults with type 2 diabetes or primary care clinicians on the use of insulin in the management of type 2 diabetes. Studies meeting the review inclusion criteria were critically appraised using the CASP qualitative research checklist or Barley’s checklist for survey designs. A thematic synthesis was then conducted of the collected studies.

Results

Thirty-four studies were selected. Of these, 12 used qualitative interviews (nine with patients and three with healthcare professionals) and 22 were survey based (14 with patients, three with healthcare professionals, and five with both). Twelve key themes were identified and formed three domains, patient perceptions, healthcare professional perceptions, and health professional-patient relationships. The patient-centred themes were: insulin-related beliefs, social influences, psychological factors, hypoglycaemia, and therapy barriers. The clinician-related themes were: insulin skills of general practitioners, healthcare integration, healthcare professional-perceived barriers, hypoglycaemia, and explanations for adherence. Healthcare professional-patient relationship themes were drawn from the perspectives of patients and from clinicians.

Conclusions

This review reveals multiple barriers to optimal insulin use in primary care at both the patient and healthcare professional levels. These barriers indicate the need for multimodal interventions to: improve the knowledge and competencies of primary care professionals in insulin use; provide more effective patient education and self-management support; and introduce integrated insulin support systems.

Electronic supplementary material

The online version of this article (10.1186/s12875-018-0753-2) contains supplementary material, which is available to authorized users.

Improved diabetes medication convenience and satisfaction in persons with type 2 diabetes after switching to insulin glargine 300 U/mL: results of the observational OPTIN-D study

OBJECTIVE

Insulin glargine 300 (Gla-300) provides less hypoglycemia risk and more flexibility in injection time. The extent to which these effects translate into improved patient-reported outcomes (PROs) is unknown, and is the subject of this observational study.

RESEARCH DESIGN AND METHODS

Adults with type 2 diabetes treated with basal insulin for at least 6 months initiating Gla-300 were included. Data were collected at baseline (start Gla-300) and at 3-month and 6-month follow-up. Patients and physicians gave reasons for switching to Gla-300 at baseline and the extent to which Gla-300 fulfilled their expectations at 6 months. Mixed model analyses examined PRO changes over time, with emotional well-being (WHO-5 Well-Being Index) as the primary outcome. The secondary outcomes were hypoglycemia incidence, hemoglobin A1c (HbA1c), hypoglycemia worries (worry subscale of the Hypoglycemia Fear Survey), diabetes distress (short form of the Dutch version of the Problem Areas In Diabetes Scale), diabetes medication convenience (Diabetes Medication System Rating Questionnaire (DMSRQ)), sleep quality and duration (Pittsburgh Sleep Quality Index), and adherence (Summary of Diabetes Self-Care Activities).

RESULTS

162 patients participated: 53.70% were men, the mean age was 65.54 years (9.05), baseline mean HbA1c was 7.87% (1.15) (62.48 mmol/mol (12.61)), and mean diabetes duration was 15.14 years (6.65). Mean WHO-5 Well-Being Index scores improved non-significantly from 61.94 (19.52) at baseline (T0) to 63.83 (19.67) at 6 months (T2). Mean DMSRQ scores improved significantly from 32.96 (9.02) (T0) to 36.70 (8.85) (T2) (p<0.001). Dose (less volume) was a switching reason in 69.60% of patients and 63% of physicians, and flexibility in 33.30% and 24.70%, respectively. Gla-300 fulfilled the expectations or even better than expected in 92.30% of patients and 88.90% of physicians.

CONCLUSION

In a relatively well-controlled sample of adults with type 2 diabetes, switching to Gla-300 improves diabetes medication convenience.

Insomnia and Mild Cognitive Impairment

Insomnia is a common problem in older people, especially in patients with mild cognitive impairment (MCI) whose circadian rhythm is often compromised. Insomnia exerts such a toll on caregivers that it is frequently the primary reason for seeking to institutionalize their loved ones. Three different types of insomnia are recognized: sleep-onset or initial insomnia, sleep maintenance or middle insomnia, and early morning awakening or late insomnia. Nocturnal hypoglycemia, as a cause of middle insomnia, is the main focus of this case study. Other types of insomnia are also briefly reviewed. The management of insomnia is then discussed including sleep hygiene, the usefulness and potential drawbacks of dietary supplements, nonprescription over-the-counter preparations and prescription hypnotics. Sleep architecture is then briefly reviewed, emphasizing the importance of its integrity and the role of each sleep stage.

Antioxidant effects of epigallocatechin-3-gallate on the aTC1-6 pancreatic alpha cell line

Hypoglycemia is a major barrier to achieving stable metabolic control in patients with diabetes which is a serious clinical concern. With progression of diabetes, the ability of pancreatic α-cells which respond to hypoglycemia becomes impaired; However, it is not clear whether the dysfunctional responses of α-cells during hypoglycemia are related with oxidative stress. In the present study, we investigated whether epigallocatechin-3-gallate (EGCG) has antioxidant potential on pancreatic alpha TC1-6 (αTC1-6) cell lines and protect the normal function of α-cells from H₂O₂ induced oxidative stress. ROS production, cell viability, glucagon secretion, and cell apoptosis were assessed. EGCG reduced ROS production and cell apoptosis, while restored cell viability and glucagon secretion within a particular concentration range. Moreover, EGCG activated Akt signaling and inhibited P38 as well as JNK mitogen-activated protein kinase (MAPK) pathway. Taken together, EGCG prevented αTC1-6 cells from H₂O₂ induced oxidative stress, restored dysfunction of glucagon secretion and inhibited cell apoptosis via the activation of Akt signaling and suppression of P38 and JNK pathway. These results provide rationale for combining the conventional anti-hyperglycemia therapy and antioxidant therapy in order to avert hypoglycemia in clinical treatment of diabetes.

Risk Factors for Nocturnal Hypoglycemia in Insulin-treated Patients With Type 2 Diabetes: A Secondary Analysis of Observational Data Derived From an Integrated Clinical Trial Database

PURPOSE

A trade-off exists in most diabetes therapies between the benefits of good glycemic control and the morbidity of hypoglycemia. Balancing these factors to achieve desired outcomes is a key consideration for personalized diabetes therapy. Hypoglycemia at night (nocturnal hypoglycemia [NH]) is a common but often under-reported problem in insulin-treated patients with type 2 diabetes. To better understand the risk for NH, we pooled data from multiple clinical trials of insulin treatment and specifically examined NH risk factors in relation to glycemic goals.

METHODS

Of 53 randomized trials involving insulin treatment, 18 trials that collected NH data were included. Risk factors associated with NH were identified by using gradient-boosting methods. A proportional hazards model was used to quantify the hazard ratio (HR) for risk factors. By modeling with individual patient data, a patient-level NH risk score distribution was created. Finally, results of the model were used to quantify an adjustment to the glycemic goal that would fully offset each risk factor, all other factors being equal.

FINDINGS

Data pooling resulted in the inclusion of 7341 patients with type 2 diabetes from 18 randomized clinical trials. In the mean 6-month treatment period, 43% of patients experienced at least 1 episode of NH (mean [SD], 1.1 [1.5] events/month). Reduction of glycosylated hemoglobin (HbA_1c) levels during the trial was a risk factor for NH (HR, 1.40 [95% CI, 1.38-1.43] per -1% of HbA_1c). Higher baseline HbA_1c level was a protective factor against NH (HR, 0.76 [95% CI, 0.74-0.77] per +1% of HbA_1c); and the adjustment to HbA_1c goal required to offset 1% higher baseline HbA_1c was -0.825%. Patient characteristics for risk of NH included older age (HR, 1.02 [95% CI, 1.01-1.02]) per 1-year increase), female sex (HR, 1.18 [95% CI, 1.15-1.22]), black or African-American race (HR, 1.41 [95% CI, 1.33-1.50] vs white race), longer diabetes duration (HR, 1.02 [95% CI, 1.01-1.02] per 1-year increase), diabetic nephropathy (HR, 1.40 [95% CI, 1.27-1.54]), and concomitant sulfonylurea use (HR, 1.10 [95% CI, 1.05-1.15]). Asian race was associated with a lower risk of NH (HR, 0.50 [95% CI, 0.48-0.53] vs white race); this finding could be offset with a 2.03% adjustment to the HbA_1c goal.

IMPLICATIONS

Data on NH are scarce. By pooling multiple clinical trials, this study was able to evaluate patient-level data. A quantitative understanding of the trade-off between individual risk factors for NH and glycemic reduction may help clinicians to personalize patients' glycemic goals, while effectively managing NH risk. Limitations of the study include that patients were selected through inclusion/exclusion criteria and that patient compliance may be better in a trial setting. Validating the findings in the real world will be helpful.

Cost-effectiveness of switching to insulin degludec from other basal insulins: evidence from Swedish real-world data

OBJECTIVES

Health economic analysis from a healthcare and societal point of view was conducted to assess the cost-effectiveness of insulin degludec (IDeg) after switching from other basal insulins in people with type 1 diabetes.

MATERIAL AND METHODS

This was a prospective, open-label, single arm, observational follow-up from August 2013 to October 2015 of 476 consecutive patients at Danderyd Hospital (Stockholm, Sweden) who switched to IDeg from other basal insulins (99% basal insulin analogs). The IMS CORE Diabetes Model (CDM) was used to predict the cost-effectiveness of life-long treatment with IDeg vs. other basal insulins, based on a Swedish setting.

RESULTS

Mean (SD) duration of follow-up was 21.7 (6.0) weeks. Mean HbA_1c decreased by 2.7 mmol/mol, mean basal insulin dose decreased by 13.1% (p < .0001), and mean bolus insulin dose decreased by 7.5% (p < .0001) after switching. Frequencies of non-severe daytime hypoglycemia and non-severe nocturnal hypoglycemia decreased by 12% (p = .0127) and 53% (p < .0001) respectively and severe hypoglycemia was reduced by 62% (p = .0225). The CDM predicted a gain in life expectancy of 0.33 years, a discounted gain in quality-adjusted life-years (QALYs) of 0.54, and lower estimated direct lifetime healthcare costs of SEK 22,757 for patients switching to IDeg. The incremental cost-effectiveness ratio (ICER) showed IDeg as dominant (i.e. higher effectiveness with a lower cost). Sensitivity analyses confirmed the results.

CONCLUSION

Based on this prospective, real-world, follow-up and using the CDM, it was estimated that switching to IDeg from other basal insulins translated into QALY gains including improved life expectancy and health-related quality of life, as well as dominant ICER, meaning cost-savings for the healthcare system. However, the study is limited by its observational design. Extrapolation into the future is only estimated since the actual treatment effect cannot be projected with certainty.

Type 2 Diabetes, Hypoglycemia, and Basal Insulins: Ongoing Challenges

Hypoglycemia in people with insulin-treated type 2 diabetes can be a limiting factor for management and a barrier to optimizing glycemic control. Even mild episodes of hypoglycemia can affect an individual's quality of life, and fear of hypoglycemia can lead to underinsulinization. This article explores the prevalence and consequences of hypoglycemia in people with type 2 diabetes with a focus on those who use basal insulins, offering strategies for prevention and management. It also discusses the benefits and challenges associated with new basal insulins, and their potential role in reducing hypoglycemia risk.

Self-Treated Hypoglycemia in Type 2 Diabetes Mellitus: Results from the Second Wave of an International Cross-Sectional Survey

INTRODUCTION

The aim of this study was to assess the total frequency of self-treated hypoglycemia in type 2 diabetes mellitus patients using regimens including basal insulin analogs, and to describe the psychological impact and behavioral response to these events from the perspective of patients and prescribers (i.e., hospital specialists and primary care physicians).

METHODS

The global attitude of patients and physicians 2 (GAPP2) survey was an online multinational, cross-sectional survey of patients with type 2 diabetes mellitus treated with basal insulin analogs, with or without bolus insulin. Prescribers directly involved in the care of these patients were also surveyed. Here, we report the results of the second wave of the GAPP2 survey, in which the primary variable of interest was self-treated hypoglycemia.

RESULTS

A total of 855 patients and 1003 prescribers, from 7 countries, completed the survey. Overall, 28% of patients had experienced self-treated hypoglycemia during the previous 30 days, with two-thirds of events occurring during the day and one-third of events occurring nocturnally. Prescribers reported discussing events with 55% of patients over this period. Patients worried about self-treated hypoglycemia in a range of situations, and prescribers under-estimated this worry. Many patients who had experienced self-treated hypoglycemia in the last 30 days reported missing (19%), mistiming (7%), or reducing (7%) their basal insulin dose as a result.

CONCLUSION

Self-treated hypoglycemia was relatively common in patients using basal insulin analogs, with or without bolus insulin. Whilst the frequency of hypoglycemia was greater during the daytime than at night, patients worried more about nocturnal events and this level of worry was under-estimated by physicians. Additional advice and support may be needed for both patients and prescribers, to reduce the frequency and impact of self-treated hypoglycemia.

FUNDING

Novo Nordisk.

EEG power and glucose fluctuations are coupled during sleep in young adults with type 1 diabetes

OBJECTIVE

To determine the coupling between brain activity and glucose variations during sleep in young adults with type 1 diabetes mellitus (T1DM).

METHODS

27 participants, age 18-30, wore a continuous glucose monitoring system (CGMS) and underwent in-laboratory overnight polysomnography (PSG). Quantitative electroencephalogram (qEEG) metrics were determined from the PSG and included Delta, Theta, Alpha, Sigma, Beta and Gamma Band power at 5-min intervals. Wavelet Coherence Analysis was employed to determine the time varying and frequency specific coupling between glucose and EEG Band power. ANOVA was used to compare differences across fluctuation speeds and EEG bands.

RESULTS

There was a high degree of time varying and frequency specific coupling between glucose variations and EEG power in all EEG Bands during sleep. The average number of intervals of statistically significant coherence was highest for fluctuations periods between 10 and 30min in all Bands (p<0.0001 for each). Mean significant coherence was negatively correlated with hemoglobin A1c, a marker of glycemic control.

CONCLUSIONS

The relationship between glucose and EEG power during sleep is time varying and frequency dependent in young adults with T1DM.

SIGNIFICANCE

Understanding the time varying mutual relationship between glucose changes and brain activity during sleep may have implications for disease management in T1DM.

Type 1 Diabetes and Sleep

IN BRIEF In people with type 1 diabetes, sleep may be disrupted as a result of both behavioral and physiological aspects of diabetes and its management. This sleep disruption may negatively affect disease progression and development of complications. This review highlights key research findings regarding sleep in people with type 1 diabetes.

Fear of hypoglycemia in adults with type 1 diabetes: impact of therapeutic advances and strategies for prevention - a review

PURPOSE

This review summarizes the current state of the science related to fear of hypoglycemia (FOH) in adults with type 1 diabetes. Fear of hypoglycemia is a critical deterrent to diabetes self-management, psychological well-being, and quality of life. We examine the influence of contemporary treatment regimens, technology, and interventions to identify gaps in knowledge and opportunities for research and practice.

BASIC PROCEDURES

A literature search was conducted of MEDLINE, PsycINFO, and EMBASE. Fifty-three studies that examined fear of hypoglycemia were included.

MAIN FINDINGS

Fear of hypoglycemia influences diabetes management and quality of life. Gender and age differences exist in experiences and responses. Responses vary from increased vigilance to potentially immobilizing distress. Fear of hypoglycemia is greater at night and may contribute to poor sleep quality. Strategies to reduce fear of hypoglycemia have had varying success. Newer technologies hold promise but require further examination.

CONCLUSIONS

Fear of hypoglycemia remains a problem, despite advances in technology, insulin analogs, and evidence-based diabetes management. Clinical care should consistently include assessment for its influence on diabetes self-management and psychological health. Further research is needed regarding the influence of newer technologies and individualized strategies to reduce fear of hypoglycemia while maintaining optimal glucose control.

Insulin glargine 300 U/mL in the management of diabetes: clinical utility and patient perspectives

There is ongoing interest in optimizing basal insulin treatment by developing insulins with a flat pharmacological profile, a long duration of action (typically beyond 24 hours) and minimum day-to-day variation. Glargine-300 is a modified form of the long-acting insulin analog glargine in that it has been concentrated at 300 units/mL rather than the conventional 100 units/mL. Glargine-300 has a longer duration of action and a flatter pharmacological profile than original glargine-100. This property allows for more flexibility around the timing of administration, when injected once per day. Open-label studies in patients with diabetes have shown that treatment with glargine-300 achieves comparable glycemic control compared to treatment with glargine-100, albeit with consistently higher insulin requirements. These studies also showed that treatment with glargine-300 was associated with lower risks of nocturnal hypoglycemia in patients with type 2 diabetes, particularly those already on insulin, whereas data are mixed in insulin-naïve patients with type 2 diabetes or in patients with type 1 diabetes. Treatment with glargine-300 did not appear to affect the risk of overall hypoglycemia, whereas studies lacked sufficient power to investigate the effect on the risk of severe hypoglycemia. Future studies need to establish the role of glargine-300 in the treatment of diabetes alongside the other new long-acting insulin analog, insulin degludec, which was recently introduced to the market.

The Impact of Nocturnal Hypoglycemia on Sleep in Subjects With Type 2 Diabetes

OBJECTIVE

The aim of this trial was to investigate the impact of nocturnal hypoglycemia on sleep patterns (assessed by polysomnography) and counterregulatory hormones.

RESEARCH DESIGN AND METHODS

In this single-blinded, crossover trial, 26 subjects with type 2 diabetes attended two experimental night visits (one normoglycemic and one hypoglycemic) in randomized order. Plasma glucose (PG) levels were controlled by hyperinsulinemic glucose clamping. On the hypoglycemic night, hypoglycemia was induced after reaching sleep stage N2 by turning off glucose infusion until the PG target of 2.7-2.8 mmol/L was reached and maintained for 15 min. Thereafter, subjects were brought back to normoglycemia for the rest of the night. On the normoglycemic night, PG was maintained at 5.0-7.0 mmol/L throughout the night.

RESULTS

During the first 4 h of sleep (0-4 h; after reaching sleep stage N2), no difference between experimental nights was observed in the rate of electroencephalography-identified arousals or awakenings, but the rate of awakenings was 27% lower during 4-8 h and 20% lower during 0-8 h on the hypoglycemic night than on the normoglycemic night (both statistically significant). Total sleep time tended to be longer on the hypoglycemic night (observed means 366 vs. 349 min, P nonsignificant). Statistically significantly higher counterregulatory hormonal responses (adrenaline, growth hormone, and cortisol) to hypoglycemia were observed compared with normoglycemia.

CONCLUSIONS

Nocturnal hypoglycemia in patients with type 2 diabetes caused a decrease in awakening response in the 4-8-h period following the event. These findings underscore the risks associated with nocturnal hypoglycemia because nocturnal hypoglycemia potentially affects the patient's ability to wake up and respond with an adequate intake of carbohydrates.

Subjective sleep impairment in adults with type 1 or type 2 diabetes: Results from Diabetes MILES--The Netherlands

AIMS

Despite growing recognition of the impact of sleep on diabetes, a clear profile of people with diabetes regarding subjective sleep impairment has yet to be established. This study examines: (1) subjective sleep characteristics in adults with type 1 and type 2 diabetes; (2) the relationship of poor subjective sleep quality with glycaemic control, self-care and daytime functioning; (3) possible risk markers for poor sleep quality.

METHODS

In a cross-sectional study, Dutch adults with type 1 (n=267) or type 2 diabetes (n=361) completed an online survey, including the Pittsburgh Sleep Quality Index (PSQI), socio-demographic, clinical, self-care and psychological measures.

RESULTS

Poor sleep quality (PSQI-score >5) was reported by 31% of adults with type 1 and 42% of adults with type 2 diabetes. Participants with good and poor sleep quality did not differ in self-reported HbA1c or the frequency of meeting lifestyle recommendations. Poor sleep quality was related to a higher self-care burden and higher levels of daytime sleepiness, fatigue, depressive and anxiety symptoms, and diabetes-specific distress. In multivariable logistic regression analyses examining risk markers, poor sleep quality was associated with depressive symptoms in adults with type 1 (OR=1.39, 95% CI 1.25-1.54) and type 2 diabetes (OR=1.31, 1.16-1.47), and with being female in those with type 2 diabetes (OR=2.72, 1.42-5.20).

CONCLUSIONS

Poor subjective sleep quality is prevalent both in adults with type 1 and type 2 diabetes, and is related to poor daytime functioning and higher self-care burden. The temporal relation with depression and merits of therapy should be explored.

PEGylated insulin Lispro (LY2605541): clinical overview of a new long-acting basal insulin analog in the treatment of Type 2 diabetes mellitus

Neutral Protamine Hagedorn insulin with an intermediate action profile has been in use for many years for the treatment of Type 1 diabetes and as an option for Type 2 diabetes. It is efficacious in reducing blood sugars, but shows substantial variability and risk of hypoglycemia. Basal insulin analogs have been developed in recent years to overcome these issues. Three basal insulin analogs are currently in the market in Europe. PEGylated insulin lispro is a new second-generation basal insulin analog which most likely will undergo review in 2016 by the US FDA and EMA in Europe for possible approval for marketing. Phase III trials are finalized, but not yet published. Phase II studies suggest antiglycemic efficacy, possible with a preferential hepato-specific action, a low rate of hypoglycemia, minor weight loss and acceptable tolerability. The benefit-risk profile needs, however, to be established.

Assessing the impact of non-severe hypoglycemic events and treatment in adults: development of the Treatment-Related Impact Measure-Non-severe Hypoglycemic Events (TRIM-HYPO)

PURPOSE

Non-severe hypoglycemic events (NSHEs) are commonly experienced by diabetes patients, particularly among insulin users, and can have serious impacts on daily functioning, emotional well-being, sleep, work productivity, and treatment adherence. Currently, no PRO measures are available to assess the impacts of non-severe hypoglycemia. To address this gap, the Treatment-Related Impact Measure-Non-severe Hypoglycemic Events (TRIM-HYPO) was developed. This paper describes the TRIM-HYPO development and validation.

METHODS

The creation of the TRIM-HYPO followed FDA's guideline for PRO development. Concept elicitation data were gathered from literature review, clinical expert interviews, and focus groups of patients with Type 1 or 2 diabetes in four countries. Based on the qualitative analysis, draft items were generated and cognitively debriefed. Psychometric validation included factor analysis, item response theory analysis, and assessment of psychometric characteristics for the TRIM-HYPO.

RESULTS

Eight clinical experts and 167 patients participated in concept elicitation. The validation study included 407 patients. Thirteen of the 46 items from the preliminary measure were dropped due to ceiling/floor effects and high correlations between conceptually similar items. Factor analysis confirmed five domains in the TRIM-HYPO: daily function, emotional well-being, diabetes management, sleep disruption, and work productivity. All scores were internally consistent (0.86-0.95) and reproducible with a test-retest range of 0.75-0.98. All but one a priori hypothesized associations for validity were confirmed.

CONCLUSIONS

Study findings demonstrate that the final, 33-item TRIM-HYPO is reliable and valid and may be useful for assessing impacts related to NSHEs in research and clinical practice.

Insulin degludec early clinical experience: does the promise from the clinical trials translate into clinical practice--a case-based evaluation

BACKGROUND

Clinical experience of patients is an additional source of information that can inform prescribing decisions for new therapies in practice. In diabetes, for example, patients with recurrent hypoglycemia may be excluded from trials conducted for regulatory purposes. Using insulin degludec (IDeg), a new basal insulin with an ultra-long duration of action as an example, an interim analysis is presented describing whether the decision to prescribe IDeg to patients experiencing treatment-limiting problems on their existing insulin regimes represented good clinical and economic value.

METHODS

Records from the first 51 consecutive patients with diabetes (35 type 1 [T1D] and 16 type 2 [T2D]) switching to insulin degludec from either insulin glargine (IGlar) or insulin detemir (IDet), mostly due to problems with hypoglycemia (39/51, 76.5%), were reviewed at up to 37 weeks. Patients indicated frequency of hypoglycemia and completed a disease-specific questionnaire reporting six measures of confidence and treatment satisfaction. For the largest group of exposed patents, the T1D module of the IMS Core Diabetes Model (CDM) was used to evaluate the cost-effectiveness of the treatment decision.

FINDINGS

HbA1c decreased by 0.5 ± 0.3% points and 0.7 ± 0.3% points for T1D and T2D, respectively. Hypoglycemic events decreased by >90%. Combined mean scores were ≥ 3.7 (1 = much worse, 3 = no change, 5 = much improved) for all six satisfaction and confidence items. In T1D, the treatment decision was highly cost-effective in the CDM lifetime analysis. Even when excluding benefits beyond hypoglycemia reduction, predicted cost per quality-adjusted life-year for IDeg vs IGlar/IDet was £10,754.

INTERPRETATION

These data illustrate the complementary nature of clinical trial and practice data when evaluating the value of therapeutic innovations in diabetes care. There were reductions in patient-reported hypoglycemia, reduced HbA1c, and improved treatment satisfaction in relation to the decision to prescribe IDeg. Initial health economic evaluation suggested that the decision to prescribe IDeg in this phenotypic group of T1D patients represented good value for money.

Avoiding or coping with severe hypoglycemia in patients with type 2 diabetes

Hypoglycemia is a major barrier to achieving the glycemic goal in patients with type 2 diabetes. In particular, severe hypoglycemia, which is defined as an event that requires the assistance of another person to actively administer carbohydrates, glucagon, or take other corrective actions, is a serious clinical concern in patients with diabetes. If severe hypoglycemia is not managed promptly, it can be life threatening. Hypoglycemia-associated autonomic failure (HAAF) is the main pathogenic mechanism behind severe hypoglycemia. Defective glucose counter-regulation (altered insulin secretion, glucagon secretion, and an attenuated increase in epinephrine during hypoglycemia) and a lack of awareness regarding hypoglycemia (attenuated sympathoadrenal activity) are common components of HAAF in patients with diabetes. There is considerable evidence that hypoglycemia is an independent risk factor for cardiovascular disease. In addition, hypoglycemia has a significant influence on the quality of life of patients with diabetes. To prevent hypoglycemic events, the setting of glycemic goals should be individualized, particularly in elderly individuals or patients with complicated or advanced type 2 diabetes. Patients at high-risk for the future development of severe hypoglycemia should be selected carefully, and intensive education with reinforcement should be implemented.

Cost-effectiveness of insulin degludec compared with insulin glargine in a basal-bolus regimen in patients with type 1 diabetes mellitus in the UK

OBJECTIVE

The aim of this study was to evaluate the cost-effectiveness of insulin degludec (IDeg) vs insulin glargine (IGlar) as part of a basal-bolus treatment regimen in adults with T1DM, using a short-term economic model.

METHODS

Data from two phase III clinical studies were used to populate a simple and transparent short-term model. The costs and effects of treatment with IDeg vs IGlar were calculated over a 12-month period. The analysis was conducted from the perspective of the UK National Health Service. Sensitivity analyses were conducted to assess the degree of uncertainty surrounding the results. The main outcome measure, the incremental cost-effectiveness ratio (ICER), was the cost per quality-adjusted life-year (QALY).

RESULTS

IDeg is a cost-effective treatment option vs IGlar in patients with T1DM on a basal-bolus regimen. The base case ICER was estimated at £16,895/QALY, which is below commonly accepted thresholds for cost-effectiveness in the UK. Sensitivity analyses demonstrated that the ICER was stable to variations in the majority of input parameters. The parameters that exerted the most influence on the ICER were hypoglycemia event rates, daily insulin dose, and disutility associated with non-severe nocturnal hypoglycemic events. However, even under extreme assumptions in the majority of analyses the ICERs remained below the commonly accepted threshold of £20,000-£30,000 per QALY gained.

CONCLUSIONS

This short-term modeling approach accommodates the treat-to-target trial design required by regulatory bodies, and focuses on the impact of important aspects of insulin therapy such as hypoglycemia and dosing. For patients with T1DM who are treated with a basal-bolus insulin regimen, IDeg is a cost-effective treatment option compared with IGlar. IDeg may be particularly cost-effective for sub-groups of patients, such as those suffering from recurrent nocturnal hypoglycemia and those with impaired awareness of hypoglycemia.

Increased Risk of Severe Hypoglycemic Events with Increasing Frequency of Non-severe Hypoglycemic Events in Patients with Type 1 and Type 2 Diabetes

INTRODUCTION

Severe hypoglycemic events (SHEs) are associated with significant morbidity, mortality and costs. However, the more common non-severe hypoglycemic events (NSHEs) are less well explored. We investigated the association between reported frequency of NSHEs and SHEs among patients with type 1 diabetes mellitus (T1DM) and type 2 diabetes mellitus (T2DM) in the PREDICTIVE study.

METHODS

PREDICTIVE was a global, prospective, observational study. Patients with T1DM (n = 7,420) or T2DM (n = 12,981), starting treatment with insulin detemir, reported the number of NSHEs and SHEs experienced during the 4 weeks prior to baseline and follow-up visits (mean 14.4 weeks). Logistic regression was used to determine the odds ratio (OR) of experiencing ≥1 SHE, in patients having 1-4 or ≥5 NSHEs, versus those having 0 NSHEs, while controlling for baseline covariates.

RESULTS

Hypoglycemia rates were lower at follow-up than baseline. At baseline 59.2% (T1DM) and 18.8% (T2DM) reported any hypoglycemia and at follow-up 39.5% (T1DM) and 8.6% (T2DM). There was a significant (P < 0.0001) increase in the odds of ≥1 SHEs with increasing frequency of NSHEs in T1DM and T2DM, for both crude and adjusted estimates. At baseline, in T1DM, ORs for ≥1 SHE were 1.92 and 2.13 for 1-4 and ≥5 NSHEs, respectively; the corresponding ORs in T2DM were 10.83 and 15.36, respectively. At follow-up, the ORs for ≥1 SHE were 2.01 and 3.20 (T1DM) and 18.99 and 24.29 (T2DM) for 1-4 and ≥5 NSHEs, respectively.

CONCLUSION

A statistically significant association between NSHE and SHE frequency was found in T1DM and T2DM. These data provide a clear rationale for the reduction of hypoglycemic events, regardless of severity, while striving for optimal glycemic control.

Insulin degludec versus insulin glargine in type 1 and type 2 diabetes mellitus: a meta-analysis of endpoints in phase 3a trials

INTRODUCTION

Insulin degludec (degludec) is a basal insulin with an ultra-long, stable action profile and reduced pharmacodynamic variability. Seven phase 3a trials compared degludec with insulin glargine (glargine). Patient-level meta-analyses were performed to obtain a comprehensive overview of differences between the insulin preparations, possible because consistent outcome definitions were utilized.

METHODS

Three categories of trials were analyzed: basal-bolus-treated type 1 diabetes mellitus (T1DMB/B), insulin-naïve type 2 diabetes mellitus (T2DMinsulin-naïve), and basal-bolus-treated T2DM (T2DMB/B). Regression models were adjusted for baseline characteristics. Endpoints analyzed were glycosylated hemoglobin (HbA1c), fasting plasma glucose (FPG), insulin dose and hypoglycemic rates analyzed in mutually exclusive groups: non-severe nocturnal, non-severe daytime, and severe.

RESULTS

As with previous treat-to-target trials, reductions in HbA1c were similar between degludec and glargine. Reductions in FPG were significantly greater with degludec in T1DMB/B and T2DMinsulin-naïve. Total daily insulin dose was significantly lower with degludec in T1DMB/B and T2DMinsulin-naïve. Estimated hypoglycemia rate ratios for degludec/glargine were as follows for T1DMB/B, T2DMinsulin-naïve and T2DMB/B, respectively: non-severe nocturnal 0.83, 0.64, 0.75 (all P < 0.05); non-severe daytime 1.14 [not significant (ns)], 0.89 (ns), and 0.83 (P < 0.05). Rate ratios for severe events were 1.12 (ns) (T1DMB/B); 0.14 (P < 0.05) (T2DMinsulin-naïve); and not analyzed (T2DMB/B) due to too few events.

CONCLUSIONS

Compared with glargine, degludec is associated with equivalent HbA1c control and significantly lower nocturnal hypoglycemia rates. In T1DMB/B and T2DMinsulin-naïve, degludec is also associated with significantly greater reductions in FPG and lower total doses of insulin versus glargine.

The psychosocial and financial impact of non-severe hypoglycemic events on people with diabetes: two international surveys

OBJECTIVES

To understand the impact of nocturnal and daytime non-severe hypoglycemic events on healthcare systems, work productivity and quality of life in people with type 1 or type 2 diabetes.

METHODS

People with diabetes who experienced a non-severe hypoglycemic event in the 4 weeks prior to the survey were eligible to participate in a nocturnal and/or daytime hypoglycemia survey. Surveys were conducted in Argentina, Australia, Brazil, Israel, Mexico and South Africa.

RESULTS

In total, 300 respondents were included in nocturnal/daytime hypoglycemia surveys (50/participating country/survey). All respondents with type 1 diabetes and 68%/62% (nocturnal/daytime) with type 2 diabetes were on insulin treatment. After an event, 25%/30% (nocturnal/daytime) of respondents decreased their insulin dose and 39%/36% (nocturnal/daytime) contacted a healthcare professional. In the week after an event, respondents performed an average of 5.6/6.4 (nocturnal/daytime) additional blood glucose tests. Almost half of the respondents (44%) reported that the event had a high impact on the quality of their sleep. Among nocturnal survey respondents working for pay, 29% went to work late, 16% left work early and 12% reported missing one or more full work days due to the surveyed event. In addition, 50%/39% (nocturnal/daytime) indicated that the event had a high impact on their fear of future hypoglycemia.

CONCLUSIONS

The findings suggest that nocturnal and daytime non-severe hypoglycemic events have a large financial and psychosocial impact. Diabetes management that minimizes hypoglycemia while maintaining good glycemic control may positively impact upon the psychological wellbeing of people with diabetes, as well as reducing healthcare costs and increasing work productivity.

Insulin administration and the impacts of forgetting a dose

PURPOSE

Little is known about unintentional non-adherence associated with forgetting insulin injections and dose amounts. The study objective was to qualitatively examine unintentional insulin dosing and injection irregularities due to forgetting among people with diabetes mellitus.

METHODS

Seven focus group interviews and eight telephone interviews were conducted in Canada, Germany, and China. Participants were required to have diabetes, and to have experienced at least two instances in the previous 3 months of forgetting their insulin injection, forgetting the time/amount taken, or questioning if they had taken their injection. Transcripts were coded thematically, based on a grounded theoretical approach.

RESULTS

Sixty-four patients participated: 34.4 % with type 1 diabetes and 65.6 % with type 2 diabetes. The mean age was 50.1 years (range, 18-72 years). The analysis included six domains: Forgetting, what people forgot; Reasons for forgetting; Realizing forgetting; Corrective actions; Consequences of forgetting; and Feelings about forgetting. Participants reported forgetting both bolus and basal insulin doses and often felt uncertain about whether, when, and how much insulin they had taken. The major reasons for forgetting were disruptions to their daily routine, distraction by social events, minor interruptions, and being busy. Participants employed a wide variety of strategies and corrective actions when they thought they had forgotten, and often worried as a result.

CONCLUSIONS

Forgetting or questioning insulin dosing impacts insulin-taking behavior and contributes to patient uncertainty and worry about their diabetes management. Insulin strategies that assist patients in managing memory-related dosing issues may improve adherence or treatment outcomes.

Incidence, worry and discussion about dosing irregularities and self-treated hypoglycaemia amongst HCPs and patients with type 2 diabetes: results from the UK cohort of the Global Attitudes of Patient and Physicians (GAPP2) survey

AIMS

The Global Attitude of Patients and Physicians 2 (GAPP2) survey sought to address gaps in understanding about real-world basal insulin-taking behaviour and self-treated hypoglycaemia in patients with type 2 diabetes mellitus.

MATERIALS AND METHODS

The Global Attitude of Patients and Physicians 2 was an international, online, cross-sectional study of patients aged at least 40 years with type 2 diabetes taking analogue insulins, and healthcare professionals (HCPs). Patients were recruited from general consumer online research panels, comprising a representative sample of the population to minimise bias. HCPs were recruited from online specialist research panels. The results of the UK cohort are presented here.

RESULTS

The UK cohort constituted 12% of the total GAPP2 population. In this cohort, 15-25% of patients reported that they had reduced, missed or mistimed at least one dose of insulin in the previous month. On the last occasion that patients had reduced a dose, 82% had done so intentionally - most frequently because of concerns about hypoglycaemia. HCP estimates of the numbers of patients with dosing irregularities were nearly fourfold higher than patient reports. More than one-third of HCPs believe their patients under-report the frequency of self-treated hypoglycaemia. Nevertheless, a proportion did not regularly discuss these concerns with their patients.

CONCLUSIONS

Healthcare professionals are in the best position to support patients in making appropriate insulin dose adjustments to help regularise blood glucose levels and reduce treatment-induced hypoglycaemic events. This can be achieved by initiating frequent discussions with all patients and providing education and training when appropriate.

Will the next generation of basal insulins offer clinical advantages?

The 21st century has seen the arrival of several insulin analogue products and the refinement of insulin regimens, with widespread advocacy of continuous titration algorithms and earlier initiation of supplementary insulin therapy (predominantly using basal insulins) in type 2 diabetes. Nevertheless, many insulin-treated diabetes patients remain in poor glycaemic control. This might reflect insufficient titration effort or lax adherence, but these issues could in some cases result from concerns about hypoglycaemia. Certainly there is scope for improving the pharmacokinetic/pharmacodynamic (PK/PD) profile of basal insulin, and three new products offer this prospect. Insulin degludec, now in clinical use, and PEGylated insulin lispro, in development, have greatly extended action profiles that result from two very different, but unique, mechanisms. With once-daily dosing, these insulins produce stable PK/PD profiles at steady state, associated with a low incidence of hypoglycaemia. The feasibility of varied daily dose timing has also been confirmed with insulin degludec. High strength formulations of insulin glargine and insulin degludec offer the prospect of a reduced injection number/volume in high dose users, and in the case of glargine, the PK/PD profile might also be favourably modified. This review considers critically the clinical evidence and expectations we should have for these new basal insulins.